High-performance text embedding model with large context window
A large context length text encoder that surpasses OpenAI text-embedding-ada-002 and text-embedding-3-small performance on short and long context tasks. Specialized for generating text embeddings.
137 million
2048 tokens
Ideal for text embedding generation, semantic search, and document similarity tasks.
Multilingual
curl https://models.default.tinfoil.sh/api/embed \
-d '{
"model": "nomic-embed-text",
"input": "Why is the sky blue?"
}'